Optimal tracking control of mechatronic servo system using integral reinforcement learning
Author:
Affiliation:
1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, People’s Republic of China
2. State Key Laboratory of High-Performance Complex Manufacturing, Central South University, Changsha, People’s Republic of China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Open Fund of Laboratory of Aerospace Servo Actuation and Transmission
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2022.2124930
Reference35 articles.
1. Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
2. Experience Replay for Real-Time Reinforcement Learning Control
3. PID control system analysis, design, and technology
4. A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems
5. Adaptive robust finite-time neural control of uncertain PMSM servo system with nonlinear dead zone
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